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--- |
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license: apache-2.0 |
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base_model: t5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: t5-base-translation-spa-pbb |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# t5-base-translation-spa-pbb |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2411 |
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- Bleu: 0.608 |
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- Gen Len: 8.108 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| 2.6692 | 1.0 | 304 | 2.9825 | 0.8944 | 6.2582 | |
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| 2.6593 | 2.0 | 608 | 2.7422 | 0.0 | 6.9895 | |
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| 2.5452 | 3.0 | 912 | 2.6276 | 0.0 | 7.1924 | |
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| 2.5998 | 4.0 | 1216 | 2.5437 | 0.0 | 7.3347 | |
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| 3.0987 | 5.0 | 1520 | 2.4819 | 0.0 | 7.5204 | |
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| 2.3259 | 6.0 | 1824 | 2.4409 | 0.0 | 7.4466 | |
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| 3.2006 | 7.0 | 2128 | 2.3988 | 0.6694 | 7.4058 | |
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| 1.989 | 8.0 | 2432 | 2.3669 | 0.6097 | 8.1383 | |
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| 2.3702 | 9.0 | 2736 | 2.3464 | 0.9537 | 8.1542 | |
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| 2.3841 | 10.0 | 3040 | 2.3434 | 0.9045 | 7.7852 | |
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| 2.2193 | 11.0 | 3344 | 2.3119 | 0.9082 | 8.22 | |
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| 2.4414 | 12.0 | 3648 | 2.2997 | 0.791 | 8.2569 | |
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| 1.8003 | 13.0 | 3952 | 2.2848 | 1.0315 | 8.2055 | |
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| 1.9862 | 14.0 | 4256 | 2.2756 | 0.6622 | 8.2134 | |
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| 2.3814 | 15.0 | 4560 | 2.2678 | 0.6688 | 8.1634 | |
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| 2.145 | 16.0 | 4864 | 2.2606 | 0.8214 | 8.2754 | |
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| 2.1513 | 17.0 | 5168 | 2.2605 | 1.0985 | 8.2635 | |
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| 2.249 | 18.0 | 5472 | 2.2506 | 1.0695 | 8.1726 | |
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| 2.3972 | 19.0 | 5776 | 2.2477 | 0.663 | 8.22 | |
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| 2.1375 | 20.0 | 6080 | 2.2458 | 0.612 | 8.1515 | |
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| 2.4343 | 21.0 | 6384 | 2.2451 | 0.6825 | 8.1871 | |
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| 2.9682 | 22.0 | 6688 | 2.2361 | 0.6095 | 8.2306 | |
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| 1.8138 | 23.0 | 6992 | 2.2411 | 0.608 | 8.108 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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